Research/Neural Network Video Coding 8

[논문 리뷰] Video Compression based on Jointly Learned Down-Sampling and Super-Resolution Networks

오늘 살펴 볼 논문은 2021년 VCIP에서 발표된 논문으로, 제목은 'Video Compression based on Jointly Learned Down-Sampling and Super-Resolution Networks' [1] 이다. down-sampling과 super-resolution 기반의 video coding 논문이며 앞서 리뷰한 논문인 'RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding' [2] 를 비교 논문으로 하여 실험 결과를 낸 바가 있어 리뷰해보려고 한다. RR-DnCNN v2.0 논문에 대한 리뷰는 아래 글을 참고바란다. 2022.0..

[논문 리뷰] RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding

오늘 살펴 볼 논문은 'RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding' 라는 제목으로 2021년 IEEE Transactions on Image Processing에 실린 논문 [1] 이다. 해당 논문은 동일 저자들이 2020년 Springer MultiMedia Modeling 에 출판한 'Down-sampling based video coding with degradation-aware restoration-reconstruction deep neural network' 라는 제목의 논문 [2] 을 개선한 version 2 연구라고 볼 수 있다. Intro..

[구현] "A Deep Convolutional Neural Network Approach for Complexity Reduction on Intra-Mode HEVC" 논문을 JEM 7.0에 구현하기 (2)

[References] Li, Tianyi, Mai Xu, and Xin Deng. "A deep convolutional neural network approach for complexity reduction on intra-mode HEVC." 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2017. JEM reference software, https://jvet.hhi.fraunhofer.de/svn/svn_HMJEMSoftware/ J. Chen, E. Alshina, G. J. Sullivan, J.-R. Ohm, and J. Boyce, “Algorithm Description of Joint Explorati..

[논문 리뷰] CNN-based Motion Compensation

[References] Shuai Huo, Dong Liu, Feng Wu, Houqiang Li, “Convolutional Neural Network-Based Motion Compensation Refinement for Video Coding,” in IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1–4. Zhenghui Zhao, Shiqi Wang, Shanshe Wang, Xinfeng Zhang, Siwei Ma, Jiansheng Yang, “CNN-Based Bi-Directional Motion Compensation for High Efficiency Video Coding,” in IEEE Inter..